In our Process Mining Café with Owen Johnson from the University of Leeds, we talked about his applications of process mining in healthcare.
Many interesting lessons emerged from this session, such as:
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Process thinking: Healthcare professionals deal with protocols and guidelines as checklists. As part of the process mining project, the process thinking needs to be developed to combat silos by bringing clinicians from different stages of the pathway together.
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Agile methodology: Owen books his time with all of the medical experts before the project starts. The process mining work then evolves in cycles until the next meeting for domain expert validation, deeper feedback, and finally the development of improvement ideas.
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Eighty-twenty-one percent rule: It makes sense to separate simple from complicated cases and to analyze them separately. Furthermore, the pathways of the last 1% of patients are really complex and you should remove them from the data. They are not appropriate for data analytics.
There are many more insights, such as why you should have a control cohort (also outside of healthcare), why it makes sense to model the process before mining it, and why it is good not to get the credit you deserve.
Watch the recording of the café here if you have missed it. A big thanks to Owen and to all of you for joining us!
Our apologies for the three audio cut-outs in the first five minutes of the session. We have added a text overlay of the questions that Anne asked Owen to the video version of the café, so that you can follow the discussion.
Links
Here are the links that we mentioned during the session:
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Williams, S., Southall, C., Haley, S., Dhafari, T.B., Kemp, S., Relton, S.D., Alty, J.E., Johnson, O., Graham, C.D. and Maguire, M. (2022), To the emergency room and back again: Circular healthcare pathways for acute functional neurological disorders. Journal of the Neurological Sciences, 437, p.120251.
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Johnson, OA, Ba Dhafari, T, Kurniati, A et al. (2019), The ClearPath Method for Care Pathway Process Mining and Simulation. In: Lecture Notes in Business Information Processing. BPM 2018: Business Process Management Workshops, 09-14 Sep 2018, Sydney, Australia. Springer, pp. 239-250. ISBN 9783030116408
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Martin, N., De Weerdt, J., Fernández-Llatas, C., Gal, A., Gatta, R., Ibáñez, G., Johnson, O., Mannhardt, F., Marco-Ruiz, L., Mertens, S. and Munoz-Gama, J., 2020. Recommendations for enhancing the usability and understandability of process mining in healthcare. Artificial Intelligence in Medicine, 109, p.101962.
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Munoz-Gama, J., Martin, N., Fernandez-Llatas, C., Johnson, O.A., Sepúlveda, M., Helm, E., Galvez-Yanjari, V., Rojas, E., Martinez-Millana, A., Aloini, D. and Amantea, I.A., 2022. Process mining for healthcare: Characteristics and challenges. Journal of Biomedical Informatics, 127, p.103994.
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Van Eck, M.L., Lu, X., Leemans, S.J. and Van Der Aalst, W.M. (2015), PM2: A process mining project methodology. In: International conference on advanced information systems engineering (pp. 297-313).
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Process Mining Café on common preprocessing tasks with Xixi Lu
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Process Mining Café about data quality with Kanika Goel and Niels Martin
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Process Mining Café about simulation with Lambros Viennas and Sudhendu Rai
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Collection of process mining applications in healthcare
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Previous Process Mining Café on healthcare with Luise Pufahl and Fran Batchelor
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